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Data Loading methods in Azure Synapse Analytics

 



Azure Synapse Analytics is a powerful tool for working with big data, and one of the key features of this platform is its ability to quickly and easily load data from a variety of sources. In this blog post, we will explore the different data loading methods available in Azure Synapse Analytics, along with examples of how to use each one.

Azure Data Factory: Azure Data Factory is a fully managed data integration service that allows you to create, schedule, and manage data pipelines. With Azure Data Factory, you can easily move data from a variety of sources, such as flat files, databases, and cloud storage, into Azure Synapse Analytics.

Example:

{
    "name": "AzureDataFactoryPipeline",
    "properties": {
        "activities": [
            {
                "name": "CopyFromBlobToSynapse",
                "type": "Copy",
                "inputs": [
                    {
                        "name": "BlobInput"
                    }
                ],
                "outputs": [
                    {
                        "name": "SynapseOutput"
                    }
                ],
                "typeProperties": {
                    "source": {
                        "type": "BlobSource"
                    },
                    "sink": {
                        "type": "SynapseSink",
                        "writeBatchSize": 10000,
                        "writeBatchTimeout": "60.00:00:00"
                    }
                }
            }
        ],
        "start": "2020-01-01T00:00:00Z",
        "end": "2020-12-31T00:00:00Z",
        "isPaused": false,
        "hubName": "adf_hub"
    }
}

PolyBase: PolyBase is a feature in Azure Synapse Analytics that allows you to query data stored in external data sources, such as Hadoop, Azure Blob Storage, or SQL Server, as if it were stored in a SQL Server table.

Example:

CREATE EXTERNAL TABLE ext_sales
WITH (
    LOCATION='wasbs://<container>@<storage_account>.blob.core.windows.net/<path>',
    DATA_SOURCE = myAzureBlobStorage,
    FILE_FORMAT = myTextFormat,
    REJECT_TYPE = VALUE,
    REJECT_VALUE = 0
)

SQL Server Integration Services (SSIS): SSIS is a data integration and transformation tool that can be used to load data into Azure Synapse Analytics. With SSIS, you can create data flows that move data from a variety of sources, such as flat files, databases, and cloud storage, into Azure Synapse Analytics.

Example:

using (SqlConnection sqlConnection = new SqlConnection(connectionString))
{
    sqlConnection.Open();

    using (SqlBulkCopy sqlBulkCopy = new SqlBulkCopy(sqlConnection))
    {
        // Set the destination table name
        sqlBulkCopy.DestinationTableName = "dbo.Sales";

        // Map the source column to the destination column
        sqlBulkCopy.ColumnMappings.Add("ProductName", "ProductName");
        sqlBulkCopy.ColumnMappings.Add("Quantity", "Quantity");
        sqlBulkCopy.ColumnMappings.Add

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